A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues | |
Shu, Chang4,5; Li, Lin-Lin5; Li, Guoqing5; Chen, Xi5; Han, Hua1,2,3,5 | |
刊名 | APPLIED SCIENCES-BASEL
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2020-02-01 | |
卷号 | 10期号:3页码:14 |
关键词 | image registration volume reconstruction from series of microscopy sections constrained simultaneous registration problem noniterative algorithm |
DOI | 10.3390/app10031156 |
英文摘要 | In this paper, we propose a novel noniterative algorithm to simultaneously estimate optimal rigid transformations for serial section images, which is a key component in performing volume reconstructions of serial sections of biological tissue. To avoid the error accumulation and propagation caused by current algorithms, we add an extra condition: that the positions of the first and last section images should remain unchanged. This constrained simultaneous registration problem has not previously been solved. Our solution is noniterative; thus, it can simultaneously compute rigid transformations for a large number of serial section images in a short time. We demonstrate that our algorithm obtains optimal solutions under ideal conditions and shows great robustness under nonideal circumstances. Further, we experimentally show that our algorithm outperforms state-of-the-art methods in terms of speed and accuracy. |
资助项目 | National Science Foundation of China[61673381] ; National Science Foundation of China[61701497] ; Special Program of Beijing Municipal Science and Technology Commission[Z181100000118002] ; Strategic Priority Research Program of Chinese Academy of Science[XDB32030200] ; Instrument function development innovation program of Chinese Academy of Sciences[282019000057] ; Bureau of International Cooperation, CAS[153D31KYSB20170059] |
WOS关键词 | ELECTRON-MICROSCOPY ; IMAGE |
WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000525305900427 |
资助机构 | National Science Foundation of China ; Special Program of Beijing Municipal Science and Technology Commission ; Strategic Priority Research Program of Chinese Academy of Science ; Instrument function development innovation program of Chinese Academy of Sciences ; Bureau of International Cooperation, CAS |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/39357] ![]() |
专题 | 类脑智能研究中心_微观重建与智能分析 |
通讯作者 | Chen, Xi; Han, Hua |
作者单位 | 1.CASIA, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Future Technol, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Shu, Chang,Li, Lin-Lin,Li, Guoqing,et al. A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues[J]. APPLIED SCIENCES-BASEL,2020,10(3):14. |
APA | Shu, Chang,Li, Lin-Lin,Li, Guoqing,Chen, Xi,&Han, Hua.(2020).A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues.APPLIED SCIENCES-BASEL,10(3),14. |
MLA | Shu, Chang,et al."A Noniterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissues".APPLIED SCIENCES-BASEL 10.3(2020):14. |
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